Towards a (Pragmatic) Science of Strategic Intervention: The Case of Scenario Planning

G. Hodgkinson
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引用次数: 5

Abstract

Despite the widespread popularity of scenario planning techniques as a basis for intervening in the strategic management process, there have been surprisingly few attempts to rigorously evaluate the extent to which, under what circumstances and for what reasons, these procedures yield useful outcomes or otherwise. Rather, the extant literature is replete with case examples of apparent success stories. While such accounts are highly appealing to the advocates of scenario planning procedures, they are extremely weak from a scientific standpoint, conveying nothing of the limitations of these approaches, nor indeed the underlying mechanisms through which they exert their effects. One way of ascertaining the boundary conditions of these techniques, and illuminating the underlying mechanisms at work, is through the careful documentation and analysis of failure cases. Taking one such case as a point of departure, a theoretical framework is developed as a basis for guiding future investigations. The framework maps out systematically a range of multilevel factors (incorporating the inner and outer contexts of the organization, individual differences among members of the scenario team, including consultants/facilitators involved in the intervention process) that warrant detailed further study. Finally, a number of methodological suggestions are outlined entailing more in-depth, qualitative analyses of critical incidents in field settings, in conjunction with structural equation modeling and the use of experimental techniques in the field and laboratory.
走向战略干预的(实用)科学:以情景规划为例
尽管情景规划技术作为干预战略管理过程的基础广泛流行,但令人惊讶的是,很少有人试图严格评估这些程序在何种程度上、在何种情况下和出于何种原因产生有用的结果。相反,现存的文献中充满了明显成功故事的案例。虽然这种说法对情景规划程序的倡导者非常有吸引力,但从科学的角度来看,它们极其薄弱,没有传达这些方法的局限性,也没有传达它们发挥作用的潜在机制。确定这些技术的边界条件和阐明工作中的潜在机制的一种方法是通过对失败案例的仔细记录和分析。以一个这样的案例为出发点,建立一个理论框架,作为指导未来研究的基础。该框架系统地描绘了一系列多层次因素(包括组织的内部和外部背景,场景团队成员之间的个体差异,包括参与干预过程的顾问/促进者),这些因素值得进一步详细研究。最后,概述了一些方法建议,包括对现场环境中的关键事件进行更深入的定性分析,结合结构方程建模和在现场和实验室使用实验技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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